Fabio
c36510c21e
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32 lines
972 B
C++
32 lines
972 B
C++
#pragma once
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#include <cstdint>
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#include <cstddef>
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#include <vector>
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namespace engine::models::latentsync {
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struct LatentSyncDdimConfig {
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int64_t training_steps = 1000;
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float beta_start = 0.00085F;
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float beta_end = 0.012F;
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int64_t steps_offset = 1;
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};
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// Official epsilon-prediction DDIM schedule: scaled-linear betas, eta=0,
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// no sample clipping, and final alpha equal to the first cumulative alpha.
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class LatentSyncDdimSchedule {
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public:
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LatentSyncDdimSchedule(LatentSyncDdimConfig config, int64_t inference_steps);
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const std::vector<int64_t> & timesteps() const noexcept { return timesteps_; }
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void step(std::vector<float> & sample, const std::vector<float> & noise, size_t index) const;
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private:
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std::vector<float> alphas_;
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std::vector<int64_t> timesteps_;
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int64_t stride_;
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};
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std::vector<float> latentsync_timestep_features(int64_t timestep, int64_t channels, int64_t batch);
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} // namespace engine::models::latentsync
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